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<a href="default__thread__map__tensor__op_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/***************************************************************************************************</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017-2019, NVIDIA CORPORATION.  All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * Redistribution and use in source and binary forms, with or without modification, are permitted</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> * provided that the following conditions are met:</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> *     * Redistributions of source code must retain the above copyright notice, this list of</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> *       conditions and the following disclaimer.</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> *     * Redistributions in binary form must reproduce the above copyright notice, this list of</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> *       conditions and the following disclaimer in the documentation and/or other materials</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> *       provided with the distribution.</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> *     * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *       to endorse or promote products derived from this software without specific prior written</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> *       permission.</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS &quot;AS IS&quot; AND ANY EXPRESS OR</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="comment"> **************************************************************************************************/</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="epilogue_2threadblock_2predicated__tile__iterator_8h.html">predicated_tile_iterator.h</a>&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="include_2cutlass_2gemm_2gemm_8h.html">cutlass/gemm/gemm.h</a>&quot;</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="pitch__linear_8h.html">cutlass/layout/pitch_linear.h</a>&quot;</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="keyword">namespace </span>epilogue {</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="keyword">namespace </span>threadblock {</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;<span class="keyword">template</span> &lt;</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;  <span class="keyword">typename</span> ThreadblockShape_,</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;  <span class="keyword">typename</span> WarpShape_,</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;  <span class="keywordtype">int</span> PartitionsK,</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;  <span class="keyword">typename</span> Element_,</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;  <span class="keywordtype">int</span> ElementsPerAccess</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;&gt;</div><div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp.html">   52</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp.html">DefaultThreadMapTensorOp</a> {</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp.html#a5ece7cf25b8ef0a89876db614c4ccbcb">   54</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp.html#a5ece7cf25b8ef0a89876db614c4ccbcb">ThreadblockShape</a> = ThreadblockShape_;</div><div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp.html#a2b36795756498c4a72bbd2251b6fca66">   55</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp.html#a2b36795756498c4a72bbd2251b6fca66">WarpShape</a> = WarpShape_;</div><div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp.html#a3aa324b44f2a7d0fce139a301a6a9ccc">   56</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp.html#a3aa324b44f2a7d0fce139a301a6a9ccc">kPartitionsK</a> = PartitionsK;</div><div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp.html#a17badde45c00054d1d018c2658e05c1e">   57</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp.html#a17badde45c00054d1d018c2658e05c1e">Element</a> = Element_;</div><div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp.html#a37861517987ce0e21ce8945e97a9d986">   58</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp.html#a37861517987ce0e21ce8945e97a9d986">kElementsPerAccess</a> = ElementsPerAccess;</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;  <span class="comment">// Definitions</span></div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;</div><div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_1_1Detail.html">   64</a></span>&#160;  <span class="keyword">struct </span><a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_1_1Detail.html">Detail</a> {</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_1_1Detail.html#ad91cb340f6a3be93ef40d9891659e29e">   67</a></span>&#160;    <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_1_1Detail.html#ad91cb340f6a3be93ef40d9891659e29e">kTensorOpRows</a> = 8;</div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_1_1Detail.html#aac8533f95b338ac9c5be143107893021">   68</a></span>&#160;    <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_1_1Detail.html#aac8533f95b338ac9c5be143107893021">kWarpSize</a> = 32;</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;      !(ThreadblockShape::kM % WarpShape::kM) &amp;&amp;</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;      !(ThreadblockShape::kM % WarpShape::kM), <span class="stringliteral">&quot;Divisibility&quot;</span>);</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">WarpCount</a> = <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">gemm::GemmShape</a>&lt;</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;      ThreadblockShape::kM / WarpShape::kM,</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;      ThreadblockShape::kN / WarpShape::kN,</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;      kPartitionsK</div><div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_1_1Detail.html#ae2c7c7c44ab16aacdc41f61d456e9a6a">   79</a></span>&#160;    &gt;;</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_1_1Detail.html#a095825584c05b51f25a99e08788fa578">   82</a></span>&#160;    <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_1_1Detail.html#a095825584c05b51f25a99e08788fa578">kThreads</a> = <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html#a3768273d392c8e133812f2b3313f45e8">WarpCount::kCount</a> * <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_1_1Detail.html#aac8533f95b338ac9c5be143107893021">kWarpSize</a>;</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;  };</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;  <span class="comment">// ThreadMap</span></div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;  </div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1OutputTileOptimalThreadMap.html">Type</a> = <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1OutputTileOptimalThreadMap.html">OutputTileOptimalThreadMap</a> &lt;</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1OutputTileShape.html">OutputTileShape&lt;ThreadblockShape::kN, Detail::kTensorOpRows, Detail::WarpCount::kM, 1, 1&gt;</a>,</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1OutputTileShape.html">OutputTileShape</a>&lt;1, WarpShape::kM / <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_1_1Detail.html#ad91cb340f6a3be93ef40d9891659e29e">Detail::kTensorOpRows</a>, 1, 1, WarpShape::kM / <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_1_1Detail.html#ad91cb340f6a3be93ef40d9891659e29e">Detail::kTensorOpRows</a>&gt;,</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_1_1Detail.html#a095825584c05b51f25a99e08788fa578">Detail::kThreads</a>,</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp.html#a37861517987ce0e21ce8945e97a9d986">kElementsPerAccess</a>,</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;    <a class="code" href="structcutlass_1_1sizeof__bits.html">sizeof_bits&lt;Element&gt;::value</a></div><div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp.html#a499c8a5fbb722ed34791f021be8a0787">   96</a></span>&#160;  &gt;;</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;};</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> ThreadblockShape_, <span class="keyword">typename</span> WarpShape_, <span class="keywordtype">int</span> PartitionsK,</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;          <span class="keyword">typename</span> Element_, <span class="keywordtype">int</span> ElementsPerAccess, <span class="keywordtype">int</span> InterleavedK&gt;</div><div class="line"><a name="l00104"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp.html">  104</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp.html">DefaultInterleavedThreadMapTensorOp</a> {</div><div class="line"><a name="l00105"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp.html#a453a3080f8717fcaf00d9ec0982fc876">  105</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp.html#a453a3080f8717fcaf00d9ec0982fc876">ThreadblockShape</a> = ThreadblockShape_;</div><div class="line"><a name="l00106"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp.html#aaf5c48a33f647f7be95fa407764d29d0">  106</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp.html#aaf5c48a33f647f7be95fa407764d29d0">WarpShape</a> = WarpShape_;</div><div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp.html#af2f30872992b4836195d5b1ef03b53ae">  107</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kPartitionsK = PartitionsK;</div><div class="line"><a name="l00108"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp.html#abfe50c05712bdc3cf225368fc9120aca">  108</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp.html#abfe50c05712bdc3cf225368fc9120aca">Element</a> = Element_;</div><div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp.html#a149e5db2c8243a9eaad88a3e7ff6ed61">  109</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kElementsPerAccess = ElementsPerAccess;</div><div class="line"><a name="l00110"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp.html#af33e0517fef98a7ebed04c7d8203601c">  110</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kInterleavedK = InterleavedK;</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;  <span class="comment">// Definitions</span></div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;</div><div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp_1_1Detail.html">  116</a></span>&#160;  <span class="keyword">struct </span><a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp_1_1Detail.html">Detail</a> {</div><div class="line"><a name="l00118"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp_1_1Detail.html#a7bd08f838f7c65891fb1e8600c0b5dcf">  118</a></span>&#160;    <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kTensorOpRows = 8;</div><div class="line"><a name="l00119"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp_1_1Detail.html#afd48cd1baa1e6809c72f5adf1700b261">  119</a></span>&#160;    <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kWarpSize = 32;</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(!(ThreadblockShape::kM % WarpShape::kM) &amp;&amp;</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;                      !(ThreadblockShape::kM % WarpShape::kM),</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;                  <span class="stringliteral">&quot;Divisibility&quot;</span>);</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">WarpCount</a> =</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;        <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">gemm::GemmShape</a>&lt;ThreadblockShape::kM / WarpShape::kM,</div><div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp_1_1Detail.html#ace4c702db7f54a1050d6c937ca84ec1b">  128</a></span>&#160;                        ThreadblockShape::kN / WarpShape::kN, kPartitionsK&gt;;</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;</div><div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp_1_1Detail.html#a0ce47b2fb9ee85298b77992b10804075">  131</a></span>&#160;    <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_1_1Detail.html#a095825584c05b51f25a99e08788fa578">kThreads</a> = <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html#a3768273d392c8e133812f2b3313f45e8">WarpCount::kCount</a> * <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_1_1Detail.html#aac8533f95b338ac9c5be143107893021">kWarpSize</a>;</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;  };</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;  <span class="comment">// ThreadMap</span></div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1InterleavedOutputTileThreadMap.html">Type</a> = <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1InterleavedOutputTileThreadMap.html">InterleavedOutputTileThreadMap</a>&lt;</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;      <a class="code" href="structcutlass_1_1layout_1_1PitchLinearShape.html">layout::PitchLinearShape&lt;Detail::WarpCount::kM, Detail::WarpCount::kN&gt;</a>,</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160; 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<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1OutputTileOptimalThreadMap_html"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1OutputTileOptimalThreadMap.html">cutlass::epilogue::threadblock::OutputTileOptimalThreadMap</a></div><div class="ttdef"><b>Definition:</b> output_tile_thread_map.h:228</div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_1_1Detail_html_aac8533f95b338ac9c5be143107893021"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_1_1Detail.html#aac8533f95b338ac9c5be143107893021">cutlass::epilogue::threadblock::DefaultThreadMapTensorOp::Detail::kWarpSize</a></div><div class="ttdeci">static int const kWarpSize</div><div class="ttdef"><b>Definition:</b> default_thread_map_tensor_op.h:68</div></div>
<div class="ttc" id="namespacecutlass_html"><div class="ttname"><a href="namespacecutlass.html">cutlass</a></div><div class="ttdef"><b>Definition:</b> aligned_buffer.h:35</div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1OutputTileShape_html"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1OutputTileShape.html">cutlass::epilogue::threadblock::OutputTileShape</a></div><div class="ttdoc">Tuple defining point in output tile. </div><div class="ttdef"><b>Definition:</b> output_tile_thread_map.h:57</div></div>
<div class="ttc" id="epilogue_2threadblock_2predicated__tile__iterator_8h_html"><div class="ttname"><a href="epilogue_2threadblock_2predicated__tile__iterator_8h.html">predicated_tile_iterator.h</a></div><div class="ttdoc">Epilogue for threadblock scoped GEMMs using Tensor Ops. </div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp_1_1Detail_html"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp_1_1Detail.html">cutlass::epilogue::threadblock::DefaultInterleavedThreadMapTensorOp::Detail</a></div><div class="ttdef"><b>Definition:</b> default_thread_map_tensor_op.h:116</div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_html_a3aa324b44f2a7d0fce139a301a6a9ccc"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp.html#a3aa324b44f2a7d0fce139a301a6a9ccc">cutlass::epilogue::threadblock::DefaultThreadMapTensorOp::kPartitionsK</a></div><div class="ttdeci">static int const kPartitionsK</div><div class="ttdef"><b>Definition:</b> default_thread_map_tensor_op.h:56</div></div>
<div class="ttc" id="include_2cutlass_2gemm_2gemm_8h_html"><div class="ttname"><a href="include_2cutlass_2gemm_2gemm_8h.html">gemm.h</a></div><div class="ttdoc">Defines common types used for all GEMM-like operators. </div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp_html_abfe50c05712bdc3cf225368fc9120aca"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp.html#abfe50c05712bdc3cf225368fc9120aca">cutlass::epilogue::threadblock::DefaultInterleavedThreadMapTensorOp::Element</a></div><div class="ttdeci">Element_ Element</div><div class="ttdef"><b>Definition:</b> default_thread_map_tensor_op.h:108</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1GemmShape_html_a3768273d392c8e133812f2b3313f45e8"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmShape.html#a3768273d392c8e133812f2b3313f45e8">cutlass::gemm::GemmShape::kCount</a></div><div class="ttdeci">static int const kCount</div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:67</div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1InterleavedOutputTileThreadMap_html"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1InterleavedOutputTileThreadMap.html">cutlass::epilogue::threadblock::InterleavedOutputTileThreadMap</a></div><div class="ttdef"><b>Definition:</b> output_tile_thread_map.h:442</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1PitchLinearShape_html"><div class="ttname"><a href="structcutlass_1_1layout_1_1PitchLinearShape.html">cutlass::layout::PitchLinearShape</a></div><div class="ttdoc">Template defining a shape used by pitch-linear operators. </div><div class="ttdef"><b>Definition:</b> pitch_linear.h:43</div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_1_1Detail_html_a095825584c05b51f25a99e08788fa578"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_1_1Detail.html#a095825584c05b51f25a99e08788fa578">cutlass::epilogue::threadblock::DefaultThreadMapTensorOp::Detail::kThreads</a></div><div class="ttdeci">static int const kThreads</div><div class="ttdoc">Number of participating threads. </div><div class="ttdef"><b>Definition:</b> default_thread_map_tensor_op.h:82</div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp_html"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp.html">cutlass::epilogue::threadblock::DefaultInterleavedThreadMapTensorOp</a></div><div class="ttdoc">Defines the optimal thread map for TensorOp accumulator layouts. </div><div class="ttdef"><b>Definition:</b> default_thread_map_tensor_op.h:104</div></div>
<div class="ttc" id="structcutlass_1_1sizeof__bits_html"><div class="ttname"><a href="structcutlass_1_1sizeof__bits.html">cutlass::sizeof_bits</a></div><div class="ttdoc">Defines the size of an element in bits. </div><div class="ttdef"><b>Definition:</b> numeric_types.h:42</div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_html"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp.html">cutlass::epilogue::threadblock::DefaultThreadMapTensorOp</a></div><div class="ttdoc">Defines the optimal thread map for TensorOp accumulator layouts. </div><div class="ttdef"><b>Definition:</b> default_thread_map_tensor_op.h:52</div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_1_1Detail_html_ad91cb340f6a3be93ef40d9891659e29e"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_1_1Detail.html#ad91cb340f6a3be93ef40d9891659e29e">cutlass::epilogue::threadblock::DefaultThreadMapTensorOp::Detail::kTensorOpRows</a></div><div class="ttdeci">static int const kTensorOpRows</div><div class="ttdoc">Tensor Operations fundamentally perform operations on 8 rows. </div><div class="ttdef"><b>Definition:</b> default_thread_map_tensor_op.h:67</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1GemmShape_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmShape.html">cutlass::gemm::GemmShape</a></div><div class="ttdoc">Shape of a matrix multiply-add operation. </div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:57</div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp_html_a453a3080f8717fcaf00d9ec0982fc876"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp.html#a453a3080f8717fcaf00d9ec0982fc876">cutlass::epilogue::threadblock::DefaultInterleavedThreadMapTensorOp::ThreadblockShape</a></div><div class="ttdeci">ThreadblockShape_ ThreadblockShape</div><div class="ttdef"><b>Definition:</b> default_thread_map_tensor_op.h:105</div></div>
<div class="ttc" id="platform_8h_html_adde4c9ea91b753491851361a4198c009"><div class="ttname"><a href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a></div><div class="ttdeci">#define static_assert(__e, __m)</div><div class="ttdef"><b>Definition:</b> platform.h:153</div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_html_a17badde45c00054d1d018c2658e05c1e"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp.html#a17badde45c00054d1d018c2658e05c1e">cutlass::epilogue::threadblock::DefaultThreadMapTensorOp::Element</a></div><div class="ttdeci">Element_ Element</div><div class="ttdef"><b>Definition:</b> default_thread_map_tensor_op.h:57</div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp_html_aaf5c48a33f647f7be95fa407764d29d0"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultInterleavedThreadMapTensorOp.html#aaf5c48a33f647f7be95fa407764d29d0">cutlass::epilogue::threadblock::DefaultInterleavedThreadMapTensorOp::WarpShape</a></div><div class="ttdeci">WarpShape_ WarpShape</div><div class="ttdef"><b>Definition:</b> default_thread_map_tensor_op.h:106</div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_html_a2b36795756498c4a72bbd2251b6fca66"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp.html#a2b36795756498c4a72bbd2251b6fca66">cutlass::epilogue::threadblock::DefaultThreadMapTensorOp::WarpShape</a></div><div class="ttdeci">WarpShape_ WarpShape</div><div class="ttdef"><b>Definition:</b> default_thread_map_tensor_op.h:55</div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_html_a5ece7cf25b8ef0a89876db614c4ccbcb"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp.html#a5ece7cf25b8ef0a89876db614c4ccbcb">cutlass::epilogue::threadblock::DefaultThreadMapTensorOp::ThreadblockShape</a></div><div class="ttdeci">ThreadblockShape_ ThreadblockShape</div><div class="ttdef"><b>Definition:</b> default_thread_map_tensor_op.h:54</div></div>
<div class="ttc" id="pitch__linear_8h_html"><div class="ttname"><a href="pitch__linear_8h.html">pitch_linear.h</a></div><div class="ttdoc">Defines layout functions used by TensorRef and derived classes for pitch-linear memory. </div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp_html_a37861517987ce0e21ce8945e97a9d986"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapTensorOp.html#a37861517987ce0e21ce8945e97a9d986">cutlass::epilogue::threadblock::DefaultThreadMapTensorOp::kElementsPerAccess</a></div><div class="ttdeci">static int const kElementsPerAccess</div><div class="ttdef"><b>Definition:</b> default_thread_map_tensor_op.h:58</div></div>
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